mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
164 lines
5.8 KiB
164 lines
5.8 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
|
// |
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
|
// |
|
// By downloading, copying, installing or using the software you agree to this license. |
|
// If you do not agree to this license, do not download, install, |
|
// copy or use the software. |
|
// |
|
// |
|
// Intel License Agreement |
|
// For Open Source Computer Vision Library |
|
// |
|
// Copyright (C) 2000, Intel Corporation, all rights reserved. |
|
// Third party copyrights are property of their respective owners. |
|
// |
|
// Redistribution and use in source and binary forms, with or without modification, |
|
// are permitted provided that the following conditions are met: |
|
// |
|
// * Redistribution's of source code must retain the above copyright notice, |
|
// this list of conditions and the following disclaimer. |
|
// |
|
// * Redistribution's in binary form must reproduce the above copyright notice, |
|
// this list of conditions and the following disclaimer in the documentation |
|
// and/or other materials provided with the distribution. |
|
// |
|
// * The name of Intel Corporation may not be used to endorse or promote products |
|
// derived from this software without specific prior written permission. |
|
// |
|
// This software is provided by the copyright holders and contributors "as is" and |
|
// any express or implied warranties, including, but not limited to, the implied |
|
// warranties of merchantability and fitness for a particular purpose are disclaimed. |
|
// In no event shall the Intel Corporation or contributors be liable for any direct, |
|
// indirect, incidental, special, exemplary, or consequential damages |
|
// (including, but not limited to, procurement of substitute goods or services; |
|
// loss of use, data, or profits; or business interruption) however caused |
|
// and on any theory of liability, whether in contract, strict liability, |
|
// or tort (including negligence or otherwise) arising in any way out of |
|
// the use of this software, even if advised of the possibility of such damage. |
|
// |
|
//M*/ |
|
|
|
#include "test_precomp.hpp" |
|
#include "opencv2/highgui/highgui.hpp" |
|
|
|
using namespace std; |
|
using namespace cv; |
|
|
|
const string FEATURES2D_DIR = "features2d"; |
|
const string IMAGE_FILENAME = "tsukuba.png"; |
|
|
|
/****************************************************************************************\ |
|
* Test for KeyPoint * |
|
\****************************************************************************************/ |
|
|
|
class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest |
|
{ |
|
public: |
|
CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) : |
|
detector(_detector) {} |
|
|
|
protected: |
|
virtual void run(int) |
|
{ |
|
cv::initModule_features2d(); |
|
CV_Assert(!detector.empty()); |
|
string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME; |
|
|
|
// Read the test image. |
|
Mat image = imread(imgFilename); |
|
if(image.empty()) |
|
{ |
|
ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str()); |
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); |
|
return; |
|
} |
|
|
|
vector<KeyPoint> keypoints; |
|
detector->detect(image, keypoints); |
|
|
|
if(keypoints.empty()) |
|
{ |
|
ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n"); |
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); |
|
return; |
|
} |
|
|
|
Rect r(0, 0, image.cols, image.rows); |
|
for(size_t i = 0; i < keypoints.size(); i++) |
|
{ |
|
const KeyPoint& kp = keypoints[i]; |
|
|
|
if(!r.contains(kp.pt)) |
|
{ |
|
ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y); |
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); |
|
return; |
|
} |
|
|
|
if(kp.size <= 0.f) |
|
{ |
|
ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size); |
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); |
|
return; |
|
} |
|
|
|
if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f) |
|
{ |
|
ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle); |
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); |
|
return; |
|
} |
|
} |
|
ts->set_failed_test_info(cvtest::TS::OK); |
|
} |
|
|
|
Ptr<FeatureDetector> detector; |
|
}; |
|
|
|
|
|
// Registration of tests |
|
|
|
TEST(Features2d_Detector_Keypoints_FAST, validation) |
|
{ |
|
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.FAST")); |
|
test.safe_run(); |
|
} |
|
|
|
TEST(Features2d_Detector_Keypoints_HARRIS, validation) |
|
{ |
|
CV_FeatureDetectorKeypointsTest test(FeatureDetector::create("HARRIS")); |
|
test.safe_run(); |
|
} |
|
|
|
TEST(Features2d_Detector_Keypoints_GFTT, validation) |
|
{ |
|
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.GFTT")); |
|
test.safe_run(); |
|
} |
|
|
|
TEST(Features2d_Detector_Keypoints_MSER, validation) |
|
{ |
|
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.MSER")); |
|
test.safe_run(); |
|
} |
|
|
|
TEST(Features2d_Detector_Keypoints_ORB, validation) |
|
{ |
|
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.ORB")); |
|
test.safe_run(); |
|
} |
|
|
|
TEST(Features2d_Detector_Keypoints_Star, validation) |
|
{ |
|
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.STAR")); |
|
test.safe_run(); |
|
} |
|
|
|
TEST(Features2d_Detector_Keypoints_Dense, validation) |
|
{ |
|
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.Dense")); |
|
test.safe_run(); |
|
} |
|
|
|
|
|
|